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AI Transformation Lead

External
disco logoDisco · Austin, TX
Full-timeOn-site1mo ago
Data AnalysisLeadershipLeanLLMsPrompt EngineeringPython
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Responsibilities

  • Enterprise AI Strategy & Execution
  • Partner with leaders and process owners across business teams to identify high-impact AI opportunities
  • Translate business workflows into AI-enabled solutions (automation, augmentation, decision support)
  • Develop business case and ROI models for AI investments
  • Prioritize initiatives based on ROI, scalability, ease of implementation, and alignment with DISCO's strategy
  • Build & Deploy AI Solutions
  • Personally build and deploy AI-powered workflows using tools such as Claude Code/Cowork, Workato, and Amazon Bedrock
  • Partner with Business Technology and the AI Innovation Lab, where deeper integration is required, but independently drive lightweight solutions.
  • Design and implement prompt engineering strategies and reusable templates
  • Create repeatable frameworks and playbooks to scale responsible, secure AI adoption.
  • Implements AI testing strategy using AI testing frameworks to ensure continuous quality improvement
  • Change Management & Enablement
  • Train and enable teams to adopt AI tools effectively and securely in their day-to-day workflows
  • Work in partnership with the AI Governance Team and the AI Champions network to establish best practices, governance, and usage guidelines
  • Build AI literacy and act as an internal evangelist to drive an "AI-first" mindset across the company through workshops, office hours and self-service resources
  • Measurement & Optimization
  • Define success metrics (time saved, cost reduction, revenue impact)
  • Continuously iterate on solutions based on feedback and performance data
  • Create executive dashboards to track AI adoption and impact
  • Conduct post-implementation reviews to capture learnings and improve processes
  • Partner with Program Management to communicate the impact of AI to the organization

Requirements

  • 8-12 years of experience in consulting, operations, or technology roles
  • Background at firms like McKinsey & Company, Boston Consulting Group, Deloitte, or similar high-performance environments
  • Proven track record of driving cross-functional initiatives and technology-enabled process transformation
  • Hands-on experience implementing AI/automation solutions with production-grade testing in a business setting
  • Experience driving measurable business outcomes (revenue growth, cost reduction, time savings) through technology initiatives
  • Strong systems thinking and ability to map complex workflows
  • High business acumen across multiple functions (Sales, Marketing, Customer Success, HR, Finance, Ops)
  • Working knowledge of modern AI tools (LLMs, Agentic frameworks, prompt engineering, workflow automation)
  • Exceptional stakeholder management and communication skills
  • Data analysis and visualization skills (SQL, Python, dashboarding tools)
  • Understanding of AI governance, ethics, and responsible AI practices
  • Mindset
  • Builder mentality-bias toward action and iteration
  • Comfortable operating in ambiguity and defining a new function
  • Passion for leveraging AI to drive real-world business impact
  • Always operating with a responsible and security-first mindset
  • Why This Role Matters
  • Authorization to Work in the U.S.: Candidates must be legally authorized to work in the United States without sponsorship now or in the future. DISCO is not currently sponsoring visas, including, but not limited to, H-1B, TN, or EAD, and we are not accepting visa transfers.
  • Perks of DISCO
  • Open, inclusive, and fun environment
  • Benefits, including medical, dental and vision insurance, as well as 401(k)
  • Competitive salary plus RSUs
  • Flexible PTO
  • Opportunity to be a part of a company that is revolutionizing the legal industry
  • Growth opportunities throughout the company
  • About DISCO
  • DISCO provides a cloud-nativ

Benefits

Dental insuranceVision insurance401(k)Paid time offFlexible schedule

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